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Diffstat (limited to 'tests/benchmark_new/NEON/ConvolutionLayer.cpp')
-rw-r--r--tests/benchmark_new/NEON/ConvolutionLayer.cpp16
1 files changed, 6 insertions, 10 deletions
diff --git a/tests/benchmark_new/NEON/ConvolutionLayer.cpp b/tests/benchmark_new/NEON/ConvolutionLayer.cpp
index 7406180e95..c7ffc23729 100644
--- a/tests/benchmark_new/NEON/ConvolutionLayer.cpp
+++ b/tests/benchmark_new/NEON/ConvolutionLayer.cpp
@@ -43,13 +43,9 @@ namespace test
namespace
{
#ifdef ARM_COMPUTE_ENABLE_FP16
-const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 });
-const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
-const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 });
#else /* ARM_COMPUTE_ENABLE_FP16 */
-const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 });
-const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 });
-const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 });
#endif /* ARM_COMPUTE_ENABLE_FP16 */
} // namespace
@@ -58,19 +54,19 @@ using NEConvolutionLayerFixture = ConvolutionLayerFixture<Tensor, NEConvolutionL
TEST_SUITE(NEON)
REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
- framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), alexnet_data_types),
+ framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types),
framework::dataset::make("Batches", { 1, 4, 8 })));
REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
- framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), lenet_data_types),
+ framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types),
framework::dataset::make("Batches", { 1, 4, 8 })));
REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
- framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(), lenet_data_types),
+ framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(), data_types),
framework::dataset::make("Batches", { 1, 4, 8 })));
REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
- framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), squeezenet_data_types),
+ framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
framework::dataset::make("Batches", { 1, 4, 8 })));
TEST_SUITE_END()